@admin you just have reported, this issue should have been taken with priority. here i had loss like anything due to wrong calculation. it is still fixed or not ?

@admin issue is , the way you guys have normalized the prices in the chart. why you guys did not normalize those price after the split in the API response ?

@admin my client ID is M441434

Price in the API should be same as of the chart. API response is completely different.

this is completely not acceptable

hey @admin
Powergrid ticker using your API is showing wrong prices just due to this i got the loss. today in my trading. this is very bad man whoever is @admin i will provide my feedback on the social media as well for this.
this is what your API is providing OHLC data ticker is POWERGRID-EQ
LOOKS like we can not rely on your APIs

here two pics one is the right price. and one is the ohlc data received from your APIs
[there are some weird changes in the price of the powergrid, you guys need to be proactive looks like nomalizing across the APIs data]

@admin it is just a normal question.

i loved the APP Spark by the angelbroking. it is way too faster than the older one.

are you guys doing something for the website also, it lacks a lot sometimes API does not load some times web page will not load. lot of lacks happens due to high volume access during starting of the market mins.
frankly speaking i am trying to move from zerodha to angel but these things puling me back.

you guys have any info regarding the same.

Note - i have very good configuration of the MAC BOOK FYI

@admin said in Mannapuram-EQ data is not coming properly hardly last 100 days data:

HI @mukul-ietlucknow post your request here.

@admin Mannapuram-EQ data is not coming properly hardly last 100 days data [one_day candle] is coming not of 400 days lets say an examle

@admin is there any progress now on the issue ?

@admin is there any progress on this issue.

is ws.close() will work properly now?

please respond

@admin Mannapuram-EQ data is not coming properly hardly last 100 days data [one_day candle] is coming not of 400 days lets say an examle

@admin okay thanks

@mukul-ietlucknow @admin please respond to the query. it is required else it runs all the time. please solve this issue

ss = SmartWebSocket(FEED_TOKEN, CLIENT_CODE)

def on_message(ws, message):
print("Ticks: {}".format(message))

def on_open(ws):
print("on open")
ss.subscribe(task,token)

def on_error(ws, error):
print(error)

def on_close(ws):
print("Close")

Assign the callbacks.

ss._on_open = on_open
ss._on_message = on_message
ss._on_error = on_error
ss._on_close = on_close

ss.connect()

lets says this is my code - for the websocket.

now how can i stop stop or terminate this websocket connection.?

@admin this is not the right way to do that for getting ltp of 500 stocks then it will take lot of time. And few strategy might require this type of feature.

If you say make web socket api so shall one person should make 500 web socket connection to get ltp.
What will be the impact on machine.

Zerodha has this feature where it provides ltp of multi ple stocks in one go.

You guys charge some amount but give good and needy features

@admin no looping will always will hit your servers limit. 10/s but one might need to know price of the 150 stocks in one sec.
this features is provided by zerodha why you guys can not provide it ? obviously tick data make this thing quite complicated,

Hi API Team,

I would like to request you guys to provide the LTP prices of the stocks as following -

1. if we pass the stocks tokens in the list format to the LTP pyhon function then it should provide the LTP for those stocks.
2. this is of the same feature as Zerodha has kite.ltp(stocks_arr)
   link - https://kite.trade/docs/pykiteconnect/v3/#kiteconnect.KiteConnect.ltp
3. I know it can be done with tick data and all but that becomes quite complicated in some cases. as some of the strategies could not be needing tick data all the time and also I have seen some times some other problems as well. (but it always create lags between the prices and also in the calculations)
4. this feature will help algo traders a lot.

regards
Mukul